{"id":"W3031216611","doi":"10.1200/jco.2020.38.15_suppl.10559","title":"Prevalence and predictors of high-intensity end-of-life care among adolescents and young adults with cancer in Ontario: a population-based study using the IMPACT cohort.","year":2020,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital; University of Ottawa; Hospital for Sick Children","funders":"Canadian Institutes of Health Research","keywords":"Medicine; End-of-life care; Population; Retrospective cohort study; Emergency department; Intensive care unit; Mechanical ventilation; Cohort; Cause of death; Emergency medicine; Cancer; Young adult; Advance care planning; Cohort study; Pediatrics; Palliative care; Internal medicine; Disease; Nursing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000410828,0.0002856718,0.0002963756,0.0008688222,0.001273746,0.0007777127,0.0007010889,0.0003377416,0.001389338],"category_scores_gemma":[0.0010559,0.0004779732,0.0005243106,0.00208951,0.0004201566,0.0004348754,0.0007792743,0.000448882,0.0002799546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005870195,"about_ca_system_score_gemma":0.004935872,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8673235,"about_ca_topic_score_gemma":0.923746,"domain_scores_codex":[0.9995989,0.00002783563,0.00003494208,0.00008118159,0.0001307141,0.0001264143],"domain_scores_gemma":[0.9992136,0.00003392139,0.0003075127,0.00005006529,0.0001958091,0.0001989908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001606402,0.00001346516,0.9991509,0.000006816017,0.00001067928,0.00003323552,0.00027032,0.000007538465,0.00005735144,0.000007961302,0.0001693167,0.000256311],"study_design_scores_gemma":[0.000003362284,0.00001202166,0.9993974,0.000005760102,0.000006020174,0.00002741063,0.0003308345,0.0000343535,0.000007350265,0.000002945198,0.0001711897,0.000001373186],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960179,0.0001289464,0.00004233507,0.00006244009,0.00000344172,0.00005668582,0.002930424,0.000003355666,0.0007544275],"genre_scores_gemma":[0.9972867,0.0001694445,0.00008337855,0.00005565768,0.000004262194,0.00004950315,0.001921511,0.000002313091,0.0004273171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1326765,"threshold_uncertainty_score":0.2669156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06988675279267693,"score_gpt":0.4145279381271956,"score_spread":0.3446411853345187,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}